Research Analyst College of Dupage Glen Ellyn, Illinois, United States
Session Abstract: This session introduces data scaffolding as a powerful solution for overcoming common challenges faced by Institutional Research (IR) professionals, including incomplete data, poorly structured data that hide insights, and missing data for specific requirements. Through a practical, real-world project example, the session demonstrates how data scaffolding addresses these issues by filling gaps, restructuring datasets for clearer insights, and ensuring appropriate data access for various stakeholders. Attendees will explore key use cases of data scaffolding, using visuals and examples to learn how to apply these techniques to enhance their data analysis and visualization skills. By leveraging the principles of data scaffolding, participants will be equipped to address a variety of data challenges and generate actionable insights for informed decision-making in Institutional Research.
Keywords: data scaffolding, data visualization, time-series analysis, Tableau, higher education analytics
